Medical image segmentation using diffusion models
The dissertation presents an advanced exploration of diffusion models for medi cal image segmentation, incorporating prior knowledge to enhance accuracy and reliability. By integrating anatomical and spatial priors, the model achieves sig nificant improvements in segmenting complex structures within...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175426 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | The dissertation presents an advanced exploration of diffusion models for medi cal image segmentation, incorporating prior knowledge to enhance accuracy and reliability. By integrating anatomical and spatial priors, the model achieves sig nificant improvements in segmenting complex structures within the MPI dataset. This research not only showcases the potential of diffusion models in processing medical images but also highlights the benefits of incorporating domain-specific knowledge into machine learning frameworks. The findings suggest a promising direction for future studies, aiming to further refine diagnostic tools and patient care strategies through innovative computational techniques. |
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